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Data Analytics Sales Jobs in Washington (NOW HIRING)

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a ... sales, and finance) using Power BI, Databricks, SQL, Python, and cloud technologies. * Drive ...

QxBranch

Sales Executive - Analytics

Washington, DC · On-site

QxBranch utilizes modern, adaptable data analytics tooling that can address your needs today, and ... Sales Executive - Washington DC Overview QxBranch is seeking a Sales Executive to drive revenue for ...

QxBranch

Sales Executive - Analytics

Washington, DC

QxBranch utilizes modern, adaptable data analytics tooling that can address your needs today, and ... Sales Executive - Washington DC Overview QxBranch is seeking a Sales Executive to drive revenue for ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

... direct sales and partners, and identify opportunities for expansion and retention through partner channels. * Partner Marketing Analytics Measure the impact of partner-driven campaigns and ...

AvePoint

Data Analyst

Arlington, VA

$85K - $110K/yr

... direct sales and partners, and identify opportunities for expansion and retention through partner channels. * Partner Marketing Analytics Measure the impact of partner-driven campaigns and ...

Monex USA

Senior Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Collaborate cross-functionally (e.g., HR, IT, Sales Ops) to align analytics initiatives with organizational goals. * Mentor junior analysts and promote best practices in data analysis, visualization ...

Monex

Senior Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Collaborate cross-functionally (e.g., HR, IT, Sales Ops) to align analytics initiatives with organizational goals. * Mentor junior analysts and promote best practices in data analysis, visualization ...

Deloitte

M&A Data Analytics Manager

Mclean, VA

... analyzing, validating, and normalizing transactional, commercial, and operational data (e.g ... level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel ...

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How much do data analytics sales jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data analytics sales in Washington is $37.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $47.93 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics sales roles often value experience and skills over age, and many professionals transition into data science at various stages of their careers. Learning relevant tools like Python, R, or SQL and gaining certifications can help improve prospects, regardless of age. Age should not be a barrier to entering data science or related fields if you develop the necessary expertise.

What is data analysis in sales?

Data analysis in sales involves examining sales data to identify trends, patterns, and insights that can inform business decisions. Sales analysts use tools like Excel, SQL, or data visualization software to interpret customer behavior, sales performance, and market opportunities, supporting strategies to increase revenue and improve sales processes.

What are the typical daily responsibilities of someone in a Data Analytics Sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What is the highest paid job in sales?

In sales, executive roles such as Vice President of Sales or Chief Sales Officer tend to be the highest paid, often earning six-figure salaries plus bonuses and commissions. These positions require extensive experience, strategic skills, and leadership abilities, and compensation varies by industry and company size.

Is data analytics good for sales?

Data analytics is valuable for sales roles as it helps identify customer trends, optimize sales strategies, and improve decision-making. Skills in tools like Excel, SQL, or Tableau enhance a data analyst's ability to interpret sales data effectively. Using data-driven insights can lead to increased sales performance and better targeting of potential clients.

What are the key skills and qualifications needed to thrive in the Data Analytics Sales position, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What is a Data Analytics Sales job?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

What are the most commonly searched types of Data Analytics Sales jobs in Washington? The most popular types of Data Analytics Sales jobs in Washington are:
What are popular job titles related to Data Analytics Sales jobs in Washington? For Data Analytics Sales jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Analytics Sales jobs in Washington look for? The top searched job categories for Data Analytics Sales jobs in Washington are:
Data Analytics Sales jobs near you
Infographic showing various Data Analytics Sales job openings in Washington as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $78,775 per year, or $37.9 per hour.

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Bloomberg Industry Group is seeking a Data Analytics Manager II to drive meaningful business impact through strategic insights derived from complex data. This role involves leading analytics processes, developing BI solutions, and collaborating with cross-functional teams to enhance decision-making and operational efficiency.
Responsibilities:
• Lead the end-to-end analytics process, for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
• Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
• Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user customer engagement of relevant system.
• Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
• Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
• Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
• Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
• Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
• Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
• Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
• Champion responsible data use, ensuring adherence to internal policies and external regulations.
Qualifications:
Required:
• Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
• 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
• 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
• 3+ years of experience presenting insights to senior leadership or high-level audiences.
• 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
• Strong experience in product analytics, sales analytics, or data strategy roles.
• Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
• Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.
• Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
• Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates.
• Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
• Deep understanding of customer journey analytics, KPI development, and data storytelling.
• Experience managing large-scale datasets, data platforms, and pipelines.
• Proven ability to lead cross-functional projects.
• Excellent communication and stakeholder engagement skills.
• Familiarity with data privacy standards and compliance best practices.
Company:
Bloomberg Industry Group empowers professionals in government, law, tax and accounting with essential data, news, and analysis. Founded in 1929, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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